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D3.js 4.x Data Visualization

You're reading from   D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Length 308 pages
Edition 3rd Edition
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Authors (2):
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Aendrew Rininsland Aendrew Rininsland
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Aendrew Rininsland
Swizec Teller Swizec Teller
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Swizec Teller
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with D3, ES2017, and Node.js 2. A Primer on DOM, SVG, and CSS FREE CHAPTER 3. Shape Primitives of D3 4. Making Data Useful 5. Defining the User Experience - Animation and Interaction 6. Hierarchical Layouts of D3 7. The Other Layouts 8. D3 on the Server with Canvas, Koa 2, and Node.js 9. Having Confidence in Your Visualizations 10. Designing Good Data Visualizations

Money for nothing, treemaps for free (maps)


Despite the similar name, treemaps bear little visual resemblance to the tree layout we used earlier; instead, they divide a tree into rectangular regions. This requires us to have a dimension to our data; in this case, we'll size the treemap regions based on screen time, nesting each region into its parent. As such, the size of each parent will be the sum of its children, plus its own value.

This is all going to start looking really similar, so we will start writing all of our common functions now. In common/index, add this function, which will give us increasingly deeper gradiations based on a hierarchy:

 export const descendantsDarker =  (d, color, invert = false, dk = 5) => 
   d3.color(
     color(
       d.ancestors()[d.ancestors().length - 2].id.split(' ').pop()
     ) )[invert ? 'brighter' : 'darker'](d.depth / dk);

This takes a datum, a color scale, and then three options: a Boolean to make the scale go brighter instead of darker, a numerical...

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